Abstract
This chapter catalogs the experience gained during a collaborative data mining project solved using the RAMSYS methodology. The data mining project aimed to produce a system for planning the allocation of resources in a spa (health farm). The chapter discusses and describes how past data can be used as a source for data mining leading to the discovery of models useful for the prediction of resource requirements. Data preprocessing using the SumatraTT tool is emphasized. Difficulties which appeared during the collaborative data mining process are highlighted, and their reasons are identified. The chapter concludes with several suggestions for effective knowledge management supporting concise and transparent information exchange among all participating partners.
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Štěpánková, O., Kléma, J., Mikšovský, P. (2003). Collaborative Data Mining With Ramsys and Sumatra TT. In: Mladenić, D., Lavrač, N., Bohanec, M., Moyle, S. (eds) Data Mining and Decision Support. The Springer International Series in Engineering and Computer Science, vol 745. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0286-9_18
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DOI: https://doi.org/10.1007/978-1-4615-0286-9_18
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